What are some programming-oriented resources for reinforcement learning?
Arthur Juliani has some interesting Medium articles on reinforcement learning with TensorFlow backed up with code on GitHub.

Part 0 — Q-Learning Agents
Part 1 — Two-Armed Bandit
Part 1.5 — Contextual Bandits
Part 2 — Policy-Based Agents
Part 3 — Model-Based RL
Part 4 — Deep Q-Networks and Beyond
Part 5 — Visualizing an Agent’s Thoughts and Actions
Part 6 — Partial Observability and Deep Recurrent Q-Networks
Part 7 — Action-Selection Strategies for Exploration
Part 8 — Asynchronous Actor-Critic Agents (A3C)

As nbro pointed out Denny Britz has a good repository: https://github.com/dennybritz/reinforcement-learning
As you have seen with Sutton &amp; Barto's book the code is mostly in Lisp.  Shangtong Zhang has replicated the code in Python: https://github.com/ShangtongZhang/reinforcement-learning-an-introduction
Sudharsan and Ravichandiran wrote a book &quot;Hands-On Reinforcement Leraning with Python&quot; which uses OpenAI Gym and TensorFlow.  You can find more information on the book along with their code repository at Hands-On Reinforcement Learning with Python